Fractional Order Nonsingular Terminal Sliding Mode Cooperative Fault-Tolerant Control For High-Speed Trains With Actuator Faults Based On Grey Wolf Optimization

This paper mainly studies the cooperative precise control of multiple high-speed trains under external random interference. The safety distance potential energy function is introduced to constrain between trains, and output quantity adjusted rapidly in real-time. An effective fractional nonsingular terminal sliding surface designed ensure that system can quickly converge equilibrium point while reducing buffeting. double-loop recurrent neural network with better approximation ability used approximate interference during train operation update parameters Aiming at possible actuator failure operation, a high-robustness mode controller designed, its stability convergence are proved by using Lyapunov theory. Based on idea inertia weight nonlinear position strategy factor, an improved grey wolf optimization algorithm proposed obtain optimal system. simulation results show method this accurately track ideal speed displacement, has accuracy, fault-tolerance, robustness compared other methods.